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Performance-portable, length-agnostic SIMD with runtime dispatch
Framework for evaluating ANNS algorithms on billion scale datasets.
TPC-H benchmark data generation in pure Rust
DuckLake is an integrated data lake and catalog format
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.
A list of papers in the field of approximate nearest neighbor search on high-dimensional vectors.
Lower-latency OpenMP-style minimalistic scoped thread-pool designed for 'Fork-Join' parallelism in Rust and C++, avoiding memory allocations, mutexes, CAS-primitives, and false-sharing on the hot p…
A lightweight library for the RaBitQ algorithm and its applications in vector search.
High-Performance Engine for Multi-Vector Search
Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.
Optimizing bit-level Jaccard Index and Population Counts for large-scale quantized Vector Search via Harley-Seal CSA and Lookup Tables
C library to pack and unpack short arrays of integers as fast as possible
Implementations of SIMD instruction sets for systems which don't natively support them.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
[SIGMOD 2025] Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search
A curated list of awesome works related to high dimensional structure/vector search & database
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
⚡ Faster similarity search with PDX: A vertical data layout for vectors
Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, …